Oxford’s joint degree combines rigorous Computer Science (algorithms, programming, systems, AI) with deep philosophical inquiry (logic, ethics, mind), taught through lectures, tutorials, labs, and group work. It offers both a 3-year BA and an optional 4-year MCompPhil for advanced research, ideal for students seeking an intellectually rich, interdisciplinary education that bridges technology and thought
Curriculum Structure
Year 1
A 50/50 split between CS and Philosophy:
CS: Functional & imperative programming, algorithms, discrete mathematics, proof systems, probability
Philosophy: logic, Turing and computability, foundational texts
Includes ~8 lectures, tutorials (2–4 students), and CS practicals, assessed via three CS exams and two Philosophy exams
Year 2
Continued balanced structure:
Core CS (25%): algorithms & data structures, models of computation, group design practical
CS options (25%): choices like AI, architecture, compilers, databases
Philosophy (50%): topics like ethics, mind, epistemology
Assessment through 4–6 CS exams and Philosophy papers
Year 3
You choose weighting (25–75%) across disciplines:
CS options: e.g., machine learning, formal verification, programming language theory
Philosophy options: e.g., AI ethics, philosophical logic, cognition, plus a potential thesis
Assessed via 5–9 written exams, including ≥3 Philosophy papers .
Year 4 (Optional MCompPhil)
Advanced specialization in both fields:
CS: security, concurrent algorithms, graph learning, plus optional project
Philosophy: specialist papers and 3,000–5,000-word thesis
Assessed by CS exams and Philosophy exams/essays
Assessment Format
Predominantly written exams in both CS and Philosophy across all years – often 3-hour papers per course.
CS practicals (e.g., lab work, group design, final-year project) must be passed (≥ 40%) but do not contribute toward degree classification .
Group practicals in Year 2 and individual research/project in Year 4 add depth alongside exams.
Philosophy assessments consist of written exams, with a significant thesis component in the fourth year.
Focus Areas
Algorithms, programming & discrete mathematics
Computational models, AI & systems architecture
Formal logic, proof systems & philosophical reasoning
Ethical and cognitive analysis of computation
Practical CS via group projects and individual research
Advanced interdisciplinary specialization in final year
Learning Outcomes
You will:
Demonstrate rigorous algorithmic, programming, and systems acumen
Apply formal logic and philosophical methods to computing and cognition
Analyze ethical, societal, and conceptual aspects of technology
Conduct independent interdisciplinary research through a CS project or Philosophy thesis
Engage with interdisciplinary questions about AI, ethics, mind, and computing
Degree Pathways
3-year BA: full interdisciplinary curriculum
4-year MCompPhil: advanced research-focused continuation available upon achieving a 2:1 in Year 3
Accreditation & Professional Recognition
The degree is accredited by the British Computer Society (BCS), providing a pathway to Chartered IT Professional (CITP) status. The program’s strong emphasis on professional practice and project work ensures alignment with industry expectations.
Reputation & Employability Rankings
Ranked #1 worldwide for Computer Science by Times Higher Education in 2025 (subject score: 98.3, research 99.4, teaching 99.2)
QS ranks Oxford Computer Science among the Top 5 globally in 2025.
Graduate outcomes are exceptional: 95% employed or in further study within six months, with average starting salaries around £65,000
The Computer Science and Philosophy degree at Oxford University immerses you in hands-on, real-world experience—supported by world-class labs, live projects, and rich academic engagement:
From day one, you'll learn through tutorials and problem sheets, applying foundational skills in programming, formal logic, AI, and philosophical analysis. Oxford’s approach is deeply practical: weekly one-to-one or small-group tutorials offer personalized feedback, ensuring you actively apply concepts across both disciplines
You’ll also access top-tier computing infrastructure—from departmental summer internships to the multi-disciplinary Oxford Internet Institute and Oxford e-Research Centre, equipping you for work at the intersection of technology, data, and society.
Transitioning now into how you’ll learn by doing:
Experiential Learning Highlights:
Personalized tutorial system: Weekly computer science problem sheets and philosophy essays are discussed in-depth with tutors, offering tailored growth and rapid improvement .
Core logic & theory modules: Learn mathematical logic, computability (e.g., Turing’s work), and philosophy of science—warehouses of practical reasoning and formal methods .
Summer Internship Programme: Funded internships across 37 countries in fields from tech to finance—accessed via CareerConnect—place you in real professional settings each summer.
Departmental internships: The CS department advertises summer internships focusing on research and industry applications, placing you in supervised, real-world engineering settings.
Access to interdisciplinary research centres: Participate in projects at the Oxford e‑Research Centre and Internet Institute, gaining exposure to data, responsible AI, networked systems, and ethical tech.
Ethical Hackathons & public policy engagement: Through faculty like Prof. Marina Jirotka, you can join Ethical Hackathons and social-facing initiatives that blend tech and philosophical responsibility.
College-level support & libraries: Tutorials are hosted in your college, with access to college tutors (e.g., at Balliol or LMH), plus rich library archives—enhancing research in both code and critical theory.
University of Oxford – BSc in Computer Science and Philosophy graduates launch into intellectually rich and high-impact careers: approximately 80% are employed within six months, with around 90% finding their work meaningful and aligned with their studies. Students often move into roles such as:
Software Engineer / Developer
AI / Machine Learning Specialist
Data Analyst / Research Analyst
Ethical Tech Consultant / Systems Designer
University services that support employment
Oxford Careers Service & College Support: Offers tailored one-to-one coaching, CV/interview prep, alumni mentoring, employer events, and access to exclusive internships and job opportunities.
Academic supervision & research projects: World-class faculty in both Computer Science and Philosophy provide in-depth guidance, fostering strong analytical, programming, and communication skills.
Industry placements & live briefs: Collaborative activities and recruitment events with leading employers including Microsoft, Google, Nvidia, ARM, Intel, Siemens, Dyson, HSBC, and Roche.
Graduation Outcomes & Alumni Success
~80% of graduates in paid employment within six months, with an additional ~6% pursuing further study.
Average early-career salary: £41,600; median: £35,700 (based on 320 responses).
~89% of graduates report that their work is meaningful and closely connected to their studies.
Graduates often see continuing salary growth, frequently surpassing £44,500 within three years.
University–industry partnerships
Strong ties with employers like IBM, Google, Amazon, Facebook, Cisco, Morgan Stanley, and Goldman Sachs, offering roles from software engineering to game programming and consultancy.
Live academic challenges and hackathons are regularly held in collaboration with the Department of Computer Science and industry partners.
Long-term accreditation & reputation
Oxford ranks #1 globally for Computer Science (Times World University Rankings).
The degree combines rigorous academic training and elite prestige—opening doors to research, policy roles, entrepreneurship, and senior positions in tech and consultancy sectors.
Further Academic Progression:
After completing your BSc, you can pursue:
A Master’s (MSc/DPhil) in areas like Artificial Intelligence, Ethical AI, Cybersecurity, Data Science, or advanced theoretical Computer Science—at Oxford or leading international institutions.
PhD (DPhil) research in interdisciplinary fields such as AI ethics, logic, computational theory, or cognitive science—backed by world-class supervision.
Professional development through BCS Chartered IT Professional pathways and specialist credentials in emerging tech and ethical computing.
Career options blending technology, ethics, academia, government, consultancy, fueled by your unique training at the intersection of computing and philosophy.
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